A new combined algorithm is proposed in this paper to solve the problem that the algorithm convergence speed is slow and easy to fall into local convergence in complex beamforming. This algorithm is based on the Fourier transform relationship between the antenna pattern and the current of the array element. For the target beam pattern, the inverse Fourier transform is used to obtain amplitude and phase values of each element in the array antenna. The acquired values as the initial values are input into the genetic algorithm (GA). A complex beam pattern with wide null is finally designed by controlling only the phase. In order to prevent GA from falling into local optimum, chaos map is introduced. The initial population and mutation operation of GA are combined with chaos. With the help of ergodicity and randomness of sinusoidal chaos, the diversity of population and the ability of the algorithm to jump out of the local optimum are enhanced. Synthesis results show that the proposed algorithm can generate complex beam patterns with wide null, and it is not easy to fall into local optimal values.
ZHAO Minghao
,
ZHOU Yiguo
. Combined algorithm for phased array antenna beamforming[J]. Journal of University of Chinese Academy of Sciences, 2023
, 40(6)
: 771
-777
.
DOI: 10.7523/j.ucas.2022.022
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